Triple
T16038345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doolittle |
E389025
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Tame
"Tame" is a song by the American indie rock band Doolittle, known for its dynamic shifts and raw, energetic sound.
|
E1191001
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tame | Statement: [Doolittle, hasTrack, Tame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tame Context triple: [Doolittle, hasTrack, Tame]
-
A.
Tame
Tame is a municipality in Colombia’s Arauca Department, known for its agricultural economy and historical role in the country’s independence era.
-
B.
TAMSE
TAMSE is an Argentine state-owned defense manufacturer best known for producing the TAM family of medium tanks and other armored vehicles.
-
C.
TAM
TAM is a prominent annual conference focused on science, skepticism, and critical thinking, originally organized by the James Randi Educational Foundation.
-
D.
TAM
TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
-
E.
TAM
TAM is the former brand name and airline code of LATAM Airlines Brasil, one of Brazil’s largest commercial airlines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tame Triple: [Doolittle, hasTrack, Tame]
Generated description
"Tame" is a song by the American indie rock band Doolittle, known for its dynamic shifts and raw, energetic sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tame Target entity description: "Tame" is a song by the American indie rock band Doolittle, known for its dynamic shifts and raw, energetic sound.
-
A.
Tame
Tame is a municipality in Colombia’s Arauca Department, known for its agricultural economy and historical role in the country’s independence era.
-
B.
TAMSE
TAMSE is an Argentine state-owned defense manufacturer best known for producing the TAM family of medium tanks and other armored vehicles.
-
C.
TAM
TAM is the standard abbreviation used for the Tampa Tarpons, a Minor League Baseball team based in Tampa, Florida.
-
D.
TAM
TAM is the former brand name and airline code of LATAM Airlines Brasil, one of Brazil’s largest commercial airlines.
-
E.
TAM
TAM is a Georgian aerospace company based in Tbilisi that designs, manufactures, and services aircraft and related aviation components.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833eb90c8190b10dca3ce0793ddf |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd5acb48190a10e40074fffd425 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdd527cfc8190a616a2334edffd02 |
completed | May 10, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdda1a0908190b7c880c5d66f7400 |
completed | May 10, 2026, 1:21 a.m. |
Created at: April 10, 2026, 4:56 a.m.